文献类型： 会议论文

第一作者： Jaho Seo

作者： Jaho Seo ¹ ; Moohyun Cha ² ; Kwangseok Oh ³ ; Young-Jun Park ⁴ ; Tae J. Kwon ⁵ ;

作者机构： 1.Department of Automotive and Mechatronics Engineering, Ontario Tech University

2.Department of Smart Industrial Machine Research, Korea Institute of Machinery & Materials

3.Department of Mechanical Engineering, Hankyong National University

4.Department of Biosystems & Biomaterials Science and Engineering, Seoul National University

5.Department of Civil & Env. Engineering, University of Alberta

关键词： Steering control algorithm;Co-simulation;All-terrain crane;Self-tuning;Fuzzy PID;Real-time simulator

会议名称： International Conference on Control, Automation and Systems

主办单位：

页码： 727-730

摘要： The study deals with the design of control algorithms to enhance the steering performance of all-terrain cranes. For this, its hydraulic steering system was modeled using a multiphysics simulation tool and the self-tuning fuzzy PID controller was developed to control hydraulic steering actuators with nonlinearities. The designed control algorithm was validated through co-simulation using a real-time simulator and showed satisfactory performance.

分类号： tp27-53